5+ years at Cognizant building scalable automation frameworks, leading QA strategy, and shipping quality software in Agile teams across the retail domain.

Design Patterns: Page Object Model (POM) · BDD · Data-Driven Testing · API Testing

Production-ready API testing framework with modular architecture, environment management, and CI/CD integration

• ✨ Modular structure: tests/, utils/, config/, data/
• 🔧 Environment-based config (dev, staging, prod)
• 🎯 RESTful API testing — GET, POST, PUT, PATCH, DELETE
• 📊 GitHub Actions CI/CD pipeline with automated reporting
• 🛠️ Stack: JavaScript · Playwright · Node.js · GitHub Actions

🏆 Hackathon project — AI agent built with MCP-style tool architecture, deployed on cloud

• 🧠 Agent + Tool layer pattern (ADK-style)
• 📡 Live CoinGecko API integration for real-time crypto prices
• 🐳 Dockerised and deployed to cloud
• 🔗 Live Demo: https://crypto-agent-843080848499.asia-south1.run.app/
• 🛠️ Stack: Python · FastAPI · Docker · CoinGecko API · GCP

Practical collection of QA strategies, risk-based testing models, and governance templates for Agile teams

• 📋 Risk-based testing framework with priority matrix
• ✅ Release readiness checklists
• 📊 Quality metrics & KPI tracking templates
• 🔺 Test automation pyramid approach

End-to-end UI automation for event booking & refund journeys — portfolio-ready test architecture

• 🎯 Happy-path & business-rule scenarios (booking, refunds, seat validation)
• 🔄 Dynamic test data creation for fully isolated runs
• 🔒 Environment-based secrets via .env.example — no hardcoded credentials
• 📸 Failure artifacts: screenshots, videos & retry traces captured automatically
• 🛠️ Stack: JavaScript · Playwright · Node.js

A Multi-Agent AI system that manages tasks, events, and notes using natural language.

🤖 Multi-Agent Orchestration: Features a main "LLM Router" that intelligently delegates user requests to specialized Task, Calendar, or Notes agents.

🔗 MCP-Style Integration: Implements Model Context Protocol patterns to connect agents with local tools and a SQLite database.

📊 Dual Interface: Includes a ChatGPT-style conversational UI and a comprehensive dashboard for tracking productivity metrics and AI insights.

⚡ Multi-Step Workflows: Capable of handling complex queries like "add task study and remind me to call mom" in a single interaction.

🛠️ Stack: Python · FastAPI · Google Gemini API · SQLite · Jinja2 · Docker

An AI-powered civic assistant designed to simplify the Indian election process for 2026.

• 🧠 Intelligent Guidance: Powered by Google Gemini 1.5 Flash to provide accurate, context-aware answers about voting eligibility and procedures.
• 🌍 Multilingual Support: Real-time translation support for 5 regional languages (Hindi, Bengali, Tamil, Telugu, and English) to ensure accessibility.
• ⚡ Production-Ready: Containerized with Docker and deployed on Google Cloud Run for high scalability and low latency.
• 🔗 Live Demo: https://ballotbuddy-843080848499.asia-south1.run.app/
• 🛠️ Stack: Node.js · Express · Google Gemini API · Docker · GCP · Vanilla JS/CSS

💡 Languages reflect public repos — primary work (Java, Selenium) is in enterprise projects.

• 🔨 Building enterprise-grade test automation frameworks
• 🤖 Exploring AI-assisted QA and agentic testing patterns
• 📚 Expanding the QA Strategy Playbook with real-world examples
• 🌱 Deepening CI/CD and cloud-native testing knowledge

• ✅ Test Strategy & Planning — End-to-end strategy for complex applications
• 🏗️ Framework Architecture — POM, BDD, data-driven patterns from scratch
• 🤝 Cross-functional Leadership — Bridging Dev, Product & QA in Agile
• 📊 Quality Metrics — Defect lifecycle, root cause analysis, KPI dashboards
• 👥 Mentorship — Upskilling junior QAs in automation best practices

I'm always open to collaborating on test automation frameworks, QA strategy, and quality engineering best practices.

💼 LinkedIn · 📧 Email · 🌐 Portfolio

"Quality is not an act, it is a habit." — Aristotle

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